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Agreement Between Administrative Claims and the Medical Record in Identifying Patients With a Diagnosis of Hypertension

Bibliographic Data

ID9101089
AuthorsMichael F Bullano, Michael Bullano (0000-0002-9961-4576, Wilmington University, corresponding author), Siddhesh Kamat (0000-0001-5205-9184, Wilmington University, corresponding author), Vincent J Willey (0000-0002-6473-6469, Wilmington University, corresponding author), Suna Barlas (Merck & Co., Inc., Rahway, NJ, USA (United States)), Douglas J Watson (Merck & Co., Inc., Rahway, NJ, USA (United States)), Susan K Brenneman (United States Military Academy)
Year2006
Volume44
Issue5
Pages486-490
Publication date2006-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000207482.02503.55
PMID16641668
OpenAlexW2019541277
LanguageEN
Citations received2
References cited14

OBJECTIVE: This study evaluated the accuracy of 2 administrative claims-based selection rules to identify patients with hypertension (HTN) using medical records as the gold standard. RESEARCH DESIGN: The claims database consisted of inpatient, outpatient, pharmacy, and eligibility claims for members of a single insurance company from January 2000 through March 2003. Medical records were abstracted for 258 matched patient pairs selected by Rule A (at least 1 HTN-related International Classification of Diseases, 9th Revision [ICD-9] claim) and 138 pairs selected by Rule B (at least 1 HTN-related ICD-9 and at least 1 HTN prescription claim) from 31 provider sites. Sensitivity and specificity of the 2 selection rules were computed using medical chart review as the gold standard for a diagnosis of HTN. SUBJECTS: Of patients selected by Rule A, chart review identified 281 patients with and 235 patients without HTN. Of patients selected by Rule B, chart review identified 172 patients with and 104 patients without HTN. RESULTS: The sensitivity and specificity was 70.8% and 74.9% for Rule A and 76.2% and 93.3% for Rule B. The kappa score was 0.45 for Rule A and 0.65 for Rule B. CONCLUSION: To identify patients with HTN, a selection rule using both a diagnosis and prescription claim has greater sensitivity and specificity than a rule using a diagnosis claim only

Actuarial science · Chart · Clinical prediction rule · Gold standard (test) · Kappa · Medical insurance · Medical prescription · Medical record · Selection (genetic algorithm) · Statistics · Artificial Intelligence · Computer Science · Electronic Health Records Systems · Internal Medicine · Medical Coding and Health Information · Medicine · Nursing Diagnosis and Documentation · Pediatrics

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  • Using administrative data from Manitoba, Canada to study treatment outcomes

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Unique citing works2
Citations per year0,15
Citation span2013 - 2017 (5)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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